code: def reorder_incremental_state(
      self, incremental_state: Dict[str, Tensor], new_order: Tensor
  ):
      input_buffer = self._get_input_buffer(incremental_state)
      if input_buffer is not None:
          input_buffer = input_buffer.index_select(1, new_order)
          self._set_input_buffer(incremental_state, input_buffer)
  
file_path: pytext/pytext/models/seq_models/light_conv.py
imports: from typing import Dict, Optional
  import torch.jit
  import torch.nn
  from pytext.config import ConfigBase
  from torch import Tensor
  from .base import PyTextIncrementalDecoderComponent
  from .utils import unfold1d
label_desc: Use image node_id 6 for calling the LightweightConv obj's underlying member method code with example usage: obj.reorder_incremental_state(incremental_state, new_order) without return types